data dimension reduction

基本解释

The thinking combined with various specific algorithm have many applications in other fields, including data Dimension reduction and regression forecast.
该思想与各类具体算法相结合在其他领域已有很多应用，其中包括了数据降维和回归预测。
Fuzzy rough set theory is an effective tool for reduction of data dimension, but there are few dimension reduction algorithms that are based on fuzzy rough set theory so far.
模糊粗糙集理论是解决数据集维数问题的有效工具，但基于模糊粗糙集的降维算法还不多。
High dimensionality is one of the most troublesome difficulties encountered in power system analysis and application. Feature selection is an effective dimension reduction method in data mining field.
电力系统的高维性是理论研究和工程实践中遇到的重要难题，特征选择是属性空间降维的有效手段，因而研究电力系统特征选择有着重要的理论价值和实际意义。

数据降维
In this paper, data dimension reduction methods and sample fusion methods are used in Vehicle Logo Recognition, which is to improve recognition rate and recognition reliability.
本文将数据降维技术和样本融合技术应用于车标识别,在提高车标识别的速度同时提高了车标识别的可靠性。